Face Detection without Bells and Whistles

Markus Mathias¹, Rodrigo Benenson², Marco Pedersoli¹, and Luc Van Gool^1,3

¹ESAT-PSI/VISICS, iMinds, KU Leuven, Belgium

²MPI Informatics, Saarbrücken, Germany

³D-ITET/CVL, ETH Zürich, Switzerland

Abstract. Face detection is a mature problem in computer vision. While diverse high performing face detectors have been proposed in the past, we present two surprising new top performance results. First, we show that a properly trained vanilla DPM reaches top performance, improving over commercial and research systems. Second, we show that a detector based on rigid templates - similar in structure to the Viola&Jones detector - can reach similar top performance on this task. Importantly, we discuss issues with existing evaluation benchmark and propose an improved procedure.

LNCS 8692, p. 720 ff.

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